Abhilash Kandarpa
@abhilashkandarpa
Data Scientist specialized in NLP and LLMs, building production-ready AI solutions.
What I'm looking for
I am a Data Scientist with a strong Computer Science foundation and hands-on experience building NLP and LLM-driven solutions for production environments. I specialize in designing retrieval-augmented systems, chatbots, and agentic workflows that improve information access and automate documentation tasks.
My recent roles include engineering a large-scale chatbot for an insurance client, deploying ML systems on Azure, and developing recommender systems and CI/CD pipelines using MLflow. I have experience fine-tuning transformer models (including PEFT, LoRA, QLoRA) and working with large datasets drawn from notebooks and organizational documentation.
I bring a pragmatic engineering mindset from prior software engineering roles in fintech, combined with research experience creating tooling to summarize code and improve developer productivity. I'm passionate about delivering scalable, reliable AI products that provide measurable user value.
Experience
Work history, roles, and key accomplishments
Data Scientist
FairDigital 24|7 GmbH
Jan 2025 - Apr 2025 (3 months)
Engineered a chatbot for a major insurance client to query a 22,000-article knowledge base, implemented NLP for accurate summaries and suggestions, and deployed the scalable solution on Azure while automating wiki updates via an agentic workflow.
Working Student - Data Scientist
Data Cybernetics GmbH
Mar 2022 - Nov 2024 (2 years 8 months)
Built an ML recommender to suggest next actions, implemented CI/CD with MLflow for Azure AI deployments, integrated a Hypermedia API, and developed a RAG-based QA chatbot using organizational wiki data to improve info access.
Student Researcher
Universität Paderborn
Oct 2023 - Jul 2024 (9 months)
Developed a Jupyter Notebook plugin to auto-summarize code cells and fine-tuned a 770M-parameter LLM on ~881,000 notebooks using PEFT, LoRA and QLoRA to produce context-aware, human-readable code summaries.
Software Engineer
Envestnet
Jul 2017 - Feb 2020 (2 years 7 months)
Contributed to fintech solutions for clients including Fidelity, Chase, and Deutsche Bank, implemented enhancements to improve functionality and reliability, and performed predictive maintenance to minimize downtime.
Education
Degrees, certifications, and relevant coursework
Universität Paderborn
Master of Science, Computer Science
2020 - 2024
Completed a Master in Computer Science with focus on NLP and large language model research, including development of model fine-tuning and tooling for code summarization.
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Science
2013 - 2017
Completed a Bachelor of Technology program with foundational studies in computer science and software engineering relevant to industry roles.
Availability
Location
Authorized to work in
Website
enhancv.comJob categories
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